The environmental damage and global change caused by wildfires are fast becoming issues of local, regional and global concern. Remote sensing techniques are an ideal tool to use for monitoring these threats. Unfortunately, most existing satellites were built for other purposes and are less than ideal for the problems associated with detecting, assessing and monitoring fires. This thesis examines the phenomenology of fires and rank orders several non-traditional detection strategies that have the promise of being more cost effective and less susceptible to false alarms than existing satellite systems and algorithms. The possibility of detecting fires with multi-band "color" measurements is recommended as an alternative to single-band threshold methods.
Library of Congress Subject Headings
Wildfires--Remote sensing; Forest fires--Remote sensing; Remote sensing; Algorithms; Image processing
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Fordham, Andrew, "Band selection and algorithm development for remote sensing of wildfires" (2002). Thesis. Rochester Institute of Technology. Accessed from
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